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Full Stack Staff & Software Engineer, Consumer Monetization

Label Your Data·Salary not specified

Primary stack

LeadershipAPI

Nice to have's

E-commerceGrowthCheckoutSubscriptionsMonetization

Job description

About the Position

Full Stack Staff & Software Engineer, Consumer Monetization

San Francisco

About the Team

Consumer Monetization builds the experiences and systems that power how customers purchase and pay for OpenAI products. Our scope spans purchasing flows, payments, subscriptions, and billing, along with the shared capabilities that support new products, offers, and distribution channels.

We own both customer-facing experiences and the underlying platforms that power them. We partner closely with Product, Design, Growth, Data Science, and engineering teams across OpenAI to make purchasing effective and reliable, and new offerings easier to launch and monetize.

About the Role

We’re looking for experienced Staff+ full-stack engineers to shape purchasing experiences and monetization capabilities across OpenAI products.

You’ll work across web experiences, product APIs, and shared components, combining strong product judgment with technical depth. The work ranges from improving checkout conversion and performance to enabling new pricing models, offers, and ways for customers to purchase our products.

You’ll help identify opportunities, turn ambiguous goals into concrete technical plans, and lead initiatives from exploration through launch. As patterns emerge across products, you’ll develop reusable capabilities that make future launches faster and more consistent.

This is a hands-on technical leadership role with substantial ownership over architecture, implementation, and product outcomes.

This role is based in San Francisco, with three days per week in the office.

Responsibilities

  • Architect and build purchasing experiences end to end, from frontend interactions through the product APIs and backend integrations that support them.
  • Improve checkout conversion, performance, and reliability through experimentation, product analytics, and customer insights.
  • Develop shared checkout components and monetization capabilities that support new products, pricing models, offers, and distribution channels.
  • Partner with Product, Design, Growth, and Data Science to identify opportunities, define experiments, and evaluate results.
  • Lead initiatives from early exploration and prototyping through implementation, rollout, and ongoing operation.
  • Shape frontend and product API architecture, balancing immediate delivery with maintainability and reuse across products.
  • Work across engineering teams and business functions to turn complex requirements into simple, effective customer experiences.
  • Provide technical leadership through hands-on development, design reviews, and mentorship.

Requirements

  • Demonstrated technical ownership at Staff level or beyond, shaping architecture and delivering substantial initiatives across teams.
  • Strong experience building sophisticated web applications and the backend APIs that power them.
  • Experience taking customer-facing products from ambiguous ideas through production and ongoing iteration.
  • Understanding of how frontend performance, latency, interaction design, and API architecture affect customer experience and business outcomes.
  • Ability to combine strong product instincts with experience using experimentation and A/B testing to decide what to build and measure its impact.
  • Ability to make pragmatic tradeoffs between shipping quickly and investing in reliable, reusable systems.
  • Clear communication across functions and the ability to move work forward without a fully defined roadmap.
  • Enjoy hands-on engineering while helping other engineers develop their judgment and take on broader ownership.

Nice to Have

  • Experience in e-commerce, growth, checkout, subscriptions, offers, or monetization.
  • Direct payments experience.

We Offer

  • Competitive compensation package
  • Opportunity to work in a cutting-edge AI research and deployment company
  • Collaborative and inclusive work environment
  • Professional development opportunities

About the Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.

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